International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 5
Number 1
March 2011
51
1 INSTRUCTIONS
A ships navigation instrument produces and pro-
vides a variety of information necessary for safe
navigation.
A number of researches efforts to provide more
advanced information for safe navigation.
Related studies include a study on collision
avoidance assistant system using fuzzy case-based
reasoning[1] and a study on a conceptual model for
collision avoidance for ontology-based fuzzy CBR
support system[2], and a study on a system that au-
tomatically sets up routes and supports the descrip-
tion of the set route for mates on small ships, who
are lacking of expertise[3]
In addition, there are a study that built an embed-
ded system that can control ships steering system of
ships with speech wheel order[4], speech-
recognition-based intelligent ships steering control
system suggested by Gyei-Kark Park and Ki-Yeol
Seo[5], and a study on ontology based fuzzy ships
steering control system[6].
However, studies so far have been carried on sys-
tems for navigators without expertise on small ships
without automatic control, and related systems or
studies which can provide comprehensive infor-
mation efficiently for experts are lacking.
This study tries to suggest data fusion models
necessary for the construction of the system to un-
derstand, unite, and provide the multimedia marine
information for mates. A ships navigation instru-
ment produces and provides a variety of information
necessary for safe navigation.
2 OVERVIEW OF A DATA FUSION MODEL
FOR NAVIGATION INFORMATION
Such a process as Figure 1 is necessary for establish-
ing a data fusion model to recognize a situation us-
ing the multimedia navigation safety information
provided by diverse navigation equipment, induce
the information needed for decision-making, and
provide it linguistically.
First of all, this paper composes a data field by
navigation equipment by analyzing the raw data
produced and provided by navigation equipment
such as GPS, ARPA, AIS, NAVTEX, VHF, etc. and
then establishes a knowledge representation model
to express the data in each data field and the rela-
tionship between objects as subjects between attrib-
utes linguistically using a semantic network.
Next, this paper establishes a data fusion model
using a knowledge representation model, and pro-
vides the information obtained newly by providing
the information of a data fusion model in a language
On a Data Fusion Model of the Navigation and
Communication Systems of a Ship
Gyei-Kark, Park & Young-Ki, Kim
Division of Maritime Transportation System. Mokpo National Maritime University,
Republic of Korea
ABSTRACT: Ship mates should be aware of images, numerical values, texts and audio-based information of
radar, AIS, NAVTEX, VHF, and etc. for safe navigation. However, it is very complicated and difficult for
them to acquire such information and use it as data for decision-making for safe navigation while keeping
watch for navigation. So, a system to understand, unite and provide multimedia marine information for mates
in voice is necessary. This study tries to suggest data fusion model of the navigation and communication sys-
tem.
52
or by fusing or inducing the information provided by
a data fusion model in a language.
Figure 1. Diagram of providing the inferred information
3 KNOWLEDGE REPRESENTATION AND
DATA FUSION MODEL
3.1 Data field of navigational equipments
To use the information provided by navigation
equipments, the information provided by the equip-
ment was analyzed and data field for the equipment
were prepared.
GPS, ARPA and AIS information should provide
which is specified in SOLAS resolutions.
NAVTEX provides information received in the
unit of a character of English alphabet in a text form,
natural language processing is completed so it was
assumed that an appropriate data field was obtained.
Most navigation warning, weather warning and
other urgent safety-related notices NAVTEX pro-
vides were discovery of a new navigation obstruc-
tion, change of aids to navigation, construction or
training section, or threatening weather occurrence,
etc., and such information consists of the name, the
term of validity and location or area.
VHF is communication equipment using frequen-
cy. Since it communicates using human language di-
rectly, information and types obtained using this
equipment are unlimited. However, the most im-
portant thing is that it has a merit that through which
the intention of the other ship can be known.
Using these, data fields were prepared.
To use information that can be provided by navi-
gational equipments, it was assumed that speech
recognition and natural language processing had
been completed.
3.2 Knowledge Representation Models
The Knowledge Representation Model by navigation
instruments was built by expressing the knowledge
relationship between the data related to the subject
and the subject using semantic network, and the in-
formation which each equipment provides was ex-
pressed in simple sentences, and the knowledge rep-
resentation by the subjects was constructed using the
knowledge representation by navigation instrument.
3.2.1 Knowledge Representation Model of GPS
All information provided by GPS is included.
Figure 2 is Knowledge Representation Model of
GPS and it expressed information which is provided
by this model in a simple sentence.
Ownships Positions GPS position Is latitude
34˚ 12.5˙N, longitude 126˚ 22.4˙E.”
Ownship’s Speed Is 18.3 kts."
Figure 2. Knowledge Representation Model of GPS
3.2.2 Knowledge Representation Model of ARPA
All the information provided by ARPA is includ-
ed and D1: Bearing & D2: Range as location infor-
mation added vertices as position before connecting
with subject for amalgamation with information
which is provided by other navigation instrument.
Figure 3 is Knowledge Representation Model of
ARPA, and it expressed information which is pro-
vided by this model in a simple sentence.
“Ship 1’s Position is Bearing 312 degree.”
Object 1’s CPA Is 0.0 miles.”
Figure 3. Knowledge Representation Model of ARPA
3.2.3 Knowledge Representation Model of AIS
All information which is provided by AIS can be
expressed but only D14: GPS position as location in-
formation was connected to ship as subject through
the vertices as position.
Figure 4 is Knowledge Representation Model of
AIS, and it expressed information which is provided
by this model in a simple sentence.
“Ship 1’s Heading Is 000 degree.
“Ship 1’s Name is SAEYUDAL.
53
Figure 1. Knowledge Representation Model of AIS
3.2.4 Knowledge Representation Model of NAVTEX
It was designed using data field of NAVTEX.
Figure 5 is Knowledge Representation Model of
NAVTEX, and it expressed information which is
provided by this model in a simple sentence.
Object 1’s Name is Dangerous wreck.
Object 1s Position is latitude 34˚ 12.5˙ N and
longitude 126˚ 22.5˙ E.
Figure 5. Knowledge Representation Model of NAVTEX
3.2.5 Knowledge Representation Model of VHF
It was designed using data field of VHF.
Figure 6 is Knowledge Representation Model of
VHF, and it expressed information which is provid-
ed by this model in a simple sentence.
“Ship 1’s Intention Is overtake.
Figure 6. Knowledge Representation Model of VHF
3.3 Data fusion algorithm
A data fusion process is necessary for fusing a
knowledge representation model into a data fusion
model.
In order to judge that the data provided by two
knowledge representation models are the infor-
mation of the same objects, the data with the same
meaning among the data provided by two knowledge
representation models should be comparable, and it
can be judged that the data provided by two
knowledge representation models are the infor-
mation with the same objects when their similarity is
within a certain range after comparison.
Figure 7 shows a proposed data fusion algorism.
Figure 7. Data fusion algorithm
3.4 Data fusion model
3.4.1 Data fusion model in the case of a ship as
target
In the case of ship as subject, information can be
obtained using ARPA, AIS and VHF in general.
Therefore, it was represented by combining
knowledge representation models of ARPA, AIS and
VHF.
Figure 8 is data fusion model in the case of a ship
as target.
54
Figure 8. Data fusion model in the case of a ship as target
3.4.2 Data fusion model in the case of a object as
target
In the case of subject as except ship, the infor-
mation can be obtained by ARPA or NAVTEX etc,
so it was represented by combining knowledge rep-
resentation models of ARPA and NAVTEX.
Figure 9 is Data fusion model in the case of a ob-
ject as target.
Figure 9. Data fusion model in the case of the subject as except
ship
4 APPLICATION OF DATA FUSION MODEL
4.1 Description of navigation situation using data
fusion model by subject
It explained the navigation situation and the infor-
mation of other ships and marine obstacle which ma-
te can obtain in the given navigation situation was
expressed using Data Fusion Model by subject in the
sentence.
The navigation situation of Figure 10 is a danger-
ous one in which two ships are encountering while
they pass through a narrow channel.
Figure 10. Navigational Situation Dangerous Stage
4.2 Navigation situation expression of information
that can be obtained from Data Fusion Model
Figure 11 shows a data fusion model for the infor-
mation acquirable in a dangerous situation of scenar-
io.
The data fusion model in Figure 11 can provide
all the information provided by navigation equip-
ment in a navigation of scenario in a simple sen-
tence.
This expresses the meaning of information on
Ship1, Ship2 and Object1 provided by a given data
fusion model in a simple sentence.
“Ship 1’s Position Is D1:Bearing Is 304˚.”
“Ship 1’s Position Is D2:Range Is 2.12 miles.”
Ship 1s Position Is D14:GPS position Is Lati-
tude 34˚ 19.4˙ N and longitude 126˚ 05.85˙ E.
“Ship 1’s D3:CPA Is 0.15 miles.”
“Ship 1’s D4:TCPA Is 5.2 minute.”
“Ship 2’s D5:True course Is 126˚.”
“Ship 2’s D6:Ture speed Is 10.0 kts.”
“Ship 2’s D7:IMO No. Is 440100001.”
“Ship 2’s D18:Rate of turn Is 0.0˚/min.
Object 1’s Position Is D1:Bearing Is 332˚.”
Object 1’s Position Is D2:Range Is 1.7 miles.”
Object 1s Position Is D14:GPS position Is Lati-
tude 34˚ 19.75˙ N and longitude 126˚ 07.0˙ E.
Object 1s D9:Name Is Dangerous wreck.”
Object 1s D23:Period Is Unlimited.
55
Figure 11. Navigation situation expression using the Data Fu-
sion Model for each object
4.3 Navigation situation expression using the Data
fusion model
Figures 12, 13 and 14 express the information ob-
tainable through induction by a mate in a navigation
situation of scenario using a data fusion model in
Figure 11.
Figure 12 expresses the information of a new
meaning inducing sentence using the meaning of
multiple objects “the CPA of Ship1, Ship2 and Ob-
ject1 is all within 1mile and less than 7 minutes, so it
is very dangerous” using a data fusion model.
The meaning except for the meaning created new-
ly after induction can be expressed linguistically.
- Ship1`s D3, D4, Ship2`s D3, D4, Object1`s D3,
D4.
“Ship1's CPA Is 0.15mile, TCPA Is 5:2, Ship2`s
CPA Is 0.0mile, TCPA Is 4:17, Object1`s CPA Is
0.6mile, TCPA Is 6:24.”
Figure 12. Navigation situation expression 1
Figure 13 expresses the information of a sentence
induced by combining the meaning of an object ac-
quired from multiple navigation equipment “Object1
has Bearing 332°, Range 1.7mile, CPA 0.6mile, and
TCPA 6:24, and its name is Dangerous wreck”using
a data fusion model.
All the meanings of a sentence can be expressed.
-Object1`s D1, D2, D3, D4, D9.
“Object1 `s Bearing Is 332°, Range Is 1.7mile,
CPA Is 0.6mile, TCPAIs 6:24, Name Is Dangerous
wreck.
Figure 13. Navigation situation expression - 2
Figure 14 expresses the information of a sentence
inducing a situation and presenting a solution by
combining the meanings of an object acquired from
multiple navigation equipment “Ship 1 has CPA
0.15mile and TCPA 5min 2sec, but it doesn’t veer
and respond to communication, so do DSC(Digital
Selective Calling) for IMO No. 440100002”using a
data fusion model.
The induced meaning cannot be expressed, but
the information can be expressed.
- Ship1`s D3, D4, D18, D25, D7.
“Ship1`s CPA Is 0.15mile, TCPA Is 5min 2sec,
Rate of turn Is 0.0°/min, Intention is nothing, DSC Is
440100002.”
Ship1`s CPA Is 0.15mile, TCPA Is 5min 2sec,
But, Rate of turn Is 0.0°/min, Intention is nothing
DSC 440100002.
Ship1`s D3, D4 But D18, D25, DSC D7.
Figure 14. Navigation situation expression - 3
5 CONCLUSIONS
This study proposed a data fusion model using se-
mantic network to analyze the information provided
by each navigation equipment and express the mean-
ing of information provided by navigation equip-
ment by selecting navigation equipment such as
GPS, ARPA, AIS, NAVTEX, VHF receiver, etc.
providing essential information for grasping a navi-
gation situation, and explained the information ac-
quirable and the inducible by a mate in a navigation
situation of scenario using a data fusion model.
56
The test of the proposed model in some real navi-
gation situations will be done to verify its validity in
future.
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